• 한국작물학회:학술대회논문집
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• 한국작물학회 2023년도 춘계학술대회
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• pp.155-155
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• 2023

• 한국작물학회:학술대회논문집
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• 한국작물학회 2021년도 춘계학술대회
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• pp.113-113
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• 2021

• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.33-42
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• 2022

One of the most pressing socioeconomic problems confronting humanity on a worldwide scale is food security, particularly in light of the expanding population and declining land productivity. These causes have increased the number of people in the world who are at risk of starving and have caused the natural ecosystems to degrade at previously unheard-of speeds. Happily, the Internet of Things (IoT) development provides a glimmer of light for those worried about food security through smart agriculture-a development that is particularly relevant to automating food production operations in order to reduce labor expenses. When compared to conventional farming techniques, smart agriculture has the benefit of maximizing resource use through precise chemical input application and regulation of environmental factors like temperature and humidity. Farmers may make data-driven choices about the possibility of insect invasion, natural disasters, anticipated yields, and even prospective market shifts with the use of smart farming tools. The technical foundation of smart agriculture serves as a potential response to worries about food security. It is made up of wireless sensor networks and integrated cloud computing modules inside IoT.

• Journal of Information Science Theory and Practice
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• 제10권spc호
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• pp.112-122
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• 2022

Food security and its sovereignty have become among the most important key issues due to changes in the international situation. Regarding these issues, many countries now give attention to smart agriculture, which would increase production efficiency through a data-based system. The Korean government also has attempted to promote smart agriculture by 1) implementing the agri-food ICT (information and communications technology) policy, and 2) increasing the R&D budget by more than double in recent years. However, its endeavors only centered on large-scale farms which a number of domestic farmers rarely utilized in their farming. To promote smart agriculture more effectively, we diagnosed the government R&D trends of smart agriculture based on NTIS (National Science and Technology Information Service) data. We identified the research trends for each R&D period by analyzing three pieces of information: the regional information, research actor, and topic. Based on these findings, we could suggest systematic R&D directions and implications.

• 스마트미디어저널
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• 제12권5호
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• pp.65-72
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• 2023

스마트팜은 농업과 ICT의 융복합을 통해 농업의 생산뿐만 아니라 유통과 소비를 포함한 농업과 관련된 다양한 분야로 새로운 가치를 창출하는 것을 의미한다. 국내에서도 스마트 농업 확산을 위한 임대형 스마트팜을 조성하고, 스마트팜 빅데이터 플랫폼을 구축하여 데이터 수집·활용 촉진. 스마트 APC 확대, 온라인거래소 운영 및 도매시장 거래정보 디지털화 등 산지에서 소비지까지 농산물 유통 디지털 전환을 추진하고 있다. 이처럼 농업 데이터는 다양한 출처에서 특성에 따라 정보가 생성되고 있지만, 통계 및 정형화된 데이터를 이용한 서비스로만 활용되고 있다. 이는 농업에서 생산·유통·소비까지 분산된 데이터 수집으로 인해 한계가 있으며 다양한 출처로부터의 다양한 형태의 데이터를 수집·처리하기 어렵기 때문이다. 그러므로 본 논문에서는 디지털 농업을 위한 국내 농업 데이터 수집·공유 현황을 분석하고 인공지능 서비스를 위한 데이터 수집·연계 방법을 제안한다. 그리고 제안하는 데이터를 이용하여 딥러닝 기반의 환경 인자를 추천하는 방법을 제안한다.

• 현장농수산연구지
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• 제26권1호
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• pp.22-29
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• 2024

본 연구에서는 국내 스마트 육묘 기술 개발을 위한 스마트 육묘 정의, 스마트 육묘 시스템 분석, 스마트 육묘 시스템 하드웨어 및 소프트웨어 구성 모델, 스마트 육묘 기술 개발 연구 동향 및 스마트 육묘 시스템 개발과 이용 전망 등을 정리하고, 향후 스마트 육묘 기술 관련 연구개발 및 발전 방안을 제시하고자 한다. 스마트 채소 육묘는 4차 산업혁명 기술을 활용하여 육묘 생산성 및 품질향상을 위한 데이터 기반의 육묘 생산, 관리 및 유통 시스템이다. 스마트 육묘 기술을 적용한 채소 모종 생산은 개별 스마트 육묘 요소 기술과 스마트 육묘 통합관리 시스템이 연동되어 생산 단계별 모종, 환경, 작업에 대한 정보의 수집, 분석, 관리가 효율적으로 이루어질 수 있으며, 육묘 농가의 경우, 주문, 육묘 및 출하 계획을 합리적으로 수립할 수 있다. 하지만, 아직 스마트 채소 육묘 기술 정립을 위한 채소 작물별 모종 규격 및 품질 표준화와 관련 스마트 육묘 요소 기술 개발이 미흡한 실정으로 국가 차원의 연구개발 지원이 필요하다.

• The Plant Pathology Journal
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• 제37권6호
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• pp.521-532
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• 2021

Knowledge and better understanding of functions of the microbial community are pivotal for crop management. This study was conducted to study bacterial structures including Acidovorax species community structures and diversity from the watermelon cultivated soils in different regions of South Korea. In this study, soil samples were collected from watermelon cultivation areas from various places of South Korea and microbiome analysis was performed to analyze bacterial communities including Acidovorax species community. Next generation sequencing (NGS) was performed by extracting genomic DNA from 92 soil samples from 8 different provinces using a fast genomic DNA extraction kit. NGS data analysis results revealed that, total, 39,367 operational taxonomic unit (OTU), were obtained. NGS data results revealed that, most dominant phylum in all the soil samples was Proteobacteria (37.3%). In addition, most abundant genus was Acidobacterium (1.8%) in all the samples. In order to analyze species diversity among the collected soil samples, OTUs, community diversity, and Shannon index were measured. Shannon (9.297) and inverse Simpson (0.996) were found to have the highest diversity scores in the greenhouse soil sample of Gyeonggi-do province (GG4). Results from NGS sequencing suggest that, most of the soil samples consists of similar trend of bacterial community and diversity. Environmental factors play a key role in shaping the bacterial community and diversity. In order to address this statement, further correlation analysis between soil physical and chemical parameters with dominant bacterial community will be carried out to observe their interactions.

• 농업과학연구
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• 제50권3호
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• pp.457-468
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• 2023

The purpose of this study is to develop a high-speed combine harvester. The performance was evaluated by composing a dynamic simulation model of a threshing cylinder and analyzing the amount of threshed rice grain during threshing operations. The rotational speed of the threshing cylinder was set at 10 rpm intervals from 500 rpm until 540 rpm, based on the rated rotational speed of 507 rpm. The rice stem model was developed using the EDEM software using measured rice stem properties. Multibody dynamics software was utilized to model the threshing cylinder and tank comprising five sections below the threshing cylinder, and the threshing performance was evaluated by weighing the grain collected in the threshing tank during threshing simulations. The simulation results showed that section 1 and 2 threshed more grains compared to section 3 and 4. It was also found that when the threshing speed was higher, the larger number of grains were threshed. Only simulation was conducted in this study. Therefore, the validation of the simulation model is required. A comparative analysis to validate the simulation model by field experiment will be conducted in the future.

• 한국경제지리학회지
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• 제25권3호
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• pp.397-419
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• 2022

글로벌 식량 위기의 해결책이자, 4차 산업혁명 시대의 새로운 성장동력으로서 스마트농업이 등장하였다. 본 연구는 해외 주요국의 스마트농업 동향을 통해 각 국가의 농업 지식과 경험이 특정 농업 환경에서 어떻게 발현되는지 살펴봄으로써 스마트농업의 공간성을 밝히는데 목적이 있다. 이를 위해 스마트농업 기술 수준에 따라 중국, 일본, 네덜란드, 미국을 대표적인 사례로 선정하여 각 국가 스마트농업 정책의 방향성, 거버넌스, 주력 분야와 기술을 살펴보았다. 그 결과 지역의 경제·사회·문화 및 생태적 맥락으로부터 탈맥락화 시키는 방향으로 작동하는 표준화 전략과 지리적 특성을 반영하여 각 국가별 스마트농업 모델을 구축하고자 하는 국지화 전략이 동시에 작동하며 각 국가의 정책과 기술을 형성하는 것으로 판단된다. 본 연구는 국가적 스케일에서 스마트 농업 정책과 현황을 살펴보는 시도로써 농업기술 지리 및 농업지식생산의 지리를 탐색하기 위한 연구의 토대로 활용한다.

• The Plant Pathology Journal
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• 제37권3호
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• pp.307-314
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• 2021

Pepper (Capsicum annuum L.) is an important agricultural crop worldwide. Recently, Colletotrichum scovillei, a member of the C. acutatum species complex, was reported to be the dominant pathogen causing pepper anthracnose disease in South Korea. In the present study, we isolated bacterial strains from rhizosphere soil in a pepper field in Gangwon Province, Korea, and assessed their antifungal ability against C. scovillei strain KC05. Among these strains, a strain named BS1 significantly inhibited mycelial growth, appressorium formation, and disease development of C. scovillei. By combined sequence analysis using 16S rRNA and partial gyrA sequences, strain BS1 was identified as Bacillus velezensis, a member of the B. subtilis species complex. BS1 produced hydrolytic enzymes (cellulase and protease) and iron-chelating siderophores. It also promoted chili pepper (cv. Nockwang) seedling growth compared with untreated plants. The study concluded that B. velezensis BS1 has good potential as a biocontrol agent of anthracnose disease in chili pepper caused by C. scovillei.